The performance assessment detailed in Table 5 shows that for most tasks, accuracy metrics falling near 50% for binary tasks or 25% for multi-choice tasks suggest a lack of proficiency.
In measuring tasks like Speaker Gender Recognition and Synthesized Voice Detection, achieving an accuracy approaching random baselines indicates that the models may not be capable of recognizing patterns effectively.
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